Context: In Healthcare, adverse event rate is usually discussed once outcomes are already known. In practice, it reveals whether safety risks are addressed early enough during operations.

Challenges: Risk indicators sit across notes, follow-ups, and workflows without convergence, responsibility is diffused, and reviews wait for confirmation instead of responding to emergence, so the window to prevent spread closes before escalation feels justified.

Solution: The Safety Surveillance Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors risk signals as they begin to converge and intervenes during escalation and clinical review, flagging early risk alignment before the decision window closes.

Impact: Hospitals following this approach see earlier alignment and faster escalation, with adverse event rates improving through timing and discipline, not through better reports.